{"id":"W6888966399","doi":"10.25318/3810027501-eng","title":"Households and the environment survey, primary type of drinking water consumed","year":2019,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Table (database); Primary (astronomy); Measure (data warehouse); Unit (ring theory); Consumption (sociology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008203678,0.001309934,0.001138653,0.005151015,0.0016851,0.001877214,0.002077253,0.0006474646,0.03201731],"category_scores_gemma":[0.005636604,0.0006678209,0.001136239,0.01972298,0.0003653148,0.000838674,0.001071543,0.00148771,0.01241666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01644955,"about_ca_system_score_gemma":0.03085021,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9829647,"about_ca_topic_score_gemma":0.9869002,"domain_scores_codex":[0.9987154,0.00006441048,0.0001145233,0.000170916,0.0005811593,0.0003535911],"domain_scores_gemma":[0.9955385,0.0002100748,0.0002816618,0.0001743881,0.003411298,0.0003841135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005193831,0.0000174773,0.008070375,0.0005616865,0.00005151816,0.0000222274,0.00006713905,0.000238755,0.00003488607,0.0005783803,0.9870319,0.003273554],"study_design_scores_gemma":[0.0002086877,0.0000309007,0.2460624,0.0008202534,0.0001254723,0.00007671271,0.001035866,0.0006376009,0.0003423282,0.0004722094,0.7501089,0.00007875772],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000352186,0.0000554576,0.00002174449,0.00004499783,0.00001261723,0.00001446836,0.9986588,0.00002265183,0.0008169654],"genre_scores_gemma":[0.003242188,0.0003029102,0.0002438166,0.00006241874,0.00001116039,0.00009464697,0.9926017,0.00002511658,0.003415972],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03201731,"threshold_uncertainty_score":0.1193504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01525380469668391,"score_gpt":0.2465756875971311,"score_spread":0.2313218829004472,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}